The aim of our research is to automatically deduce the learning style from the analysis of
browsing behaviour. To find how to deduce the learning style, we are investigating, in this paper…

Identifying learners’ behaviors and learning preferences or styles in a Web-based learning
environment is crucial for organizing the tracking and specifying how and when assistance is …

The joint OGC and W3C standard SOSA/SSN ontology describes sensors, observations,
sampling, and actuation. The W3C Thing Description ontology under development in the W3C …

Faced with a multiplicity of educational applications on the web, various initiatives can be
found defining sets of metadata to be used to describe them. It is indeed of critical importance …

Inputs and outputs are not two independent phenomena in multimodal systems. This paper
examines the relationship that exists between them. We present the results of a Wizard of Oz …

Research in individual differences and in particular, learning and cognitive style, has
become a basis to consider learner preferences in a Web-based educational context. How …

Several education hypermedia systems (EHS) use learning styles (LS) as a criterion for
adaptation and tracking. To measure these styles, EHS are generally based on the …

We investigate how the three technologies, social media, mobile/pervasive learning and
semantic web, may enhance Inquiry-Based Science Teaching (IBST) approaches and digital …

Humanoid robots need to be endowed with the capacity to express emotions using full body
postures. In this paper we describe how a motion capture database was collected and …

In this paper, we describe an automatic learning styles detection approach of learners in e-learning
platform from observable indicators relating to their browsing and interactions. Based …